Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

Network science is today established as a backbone for description of structure and function
of various physical, chemical, biological, technological, and social systems. Here we review …

Brain network dysfunction is increasingly recognised in Alzheimer's disease (AD). However,
the causes of brain connectivity disruption are still poorly understood. Recently …

A central goal in systems neuroscience is the parcellation of the cerebral cortex into discrete
neurobiological “atoms”. Resting-state functional magnetic resonance imaging (rs-fMRI) …

Modern network science has revealed fundamental aspects of normal brain-network
organization, such as small-world and scale-free patterns, hierarchical modularity, hubs and …

Virtually all domains of cognitive function require the integration of distributed neural activity.
Network analysis of human brain connectivity has consistently identified sets of regions that …

The brain must dynamically integrate, coordinate, and respond to internal and external
stimuli across multiple time scales. Non-invasive measurements of brain activity with fMRI …

The macro-connectome elucidates the pathways through which brain regions are
structurally connected or functionally coupled to perform a specific cognitive task. It …

In this paper, we present a groupwise graph-theory-based parcellation approach to define
nodes for network analysis. The application of network-theory-based analysis to extend the …

Comparison of graph structure is a ubiquitous task in data analysis and machine learning,
with diverse applications in fields such as neuroscience, cyber security, social network …